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Comparative Study of Multiresolution Analysis and Distance Measures for Face Recognition

Manisha Satone1 and G.K.Kharate2
1. Sinhgad College of Engineering, Pune
2. University of Pune, Pune
Abstract—In this paper we have compared 7 distance measures for face recognition using multi resolution analysis. Different wavelet families like Haar, Daubechies, Symlet, Biothogonal are used to test the results. Recognition experiments are performed using the database containing images of 400 persons. The experiments showed that the best recognition results are achieved using Manhattam distance measure on A2 and A3 subbands of symlets 8 wavelet.

Index Terms—distance measure, face recognition, wavelet

Cite: Manisha Satone and G.K.Kharate, "Comparative Study of Multiresolution Analysis and Distance Measures for Face Recognition," International Journal of Signal Processing Systems, Vol. 1, No. 1, pp. 34-38,  June 2013.doi: 10.12720/ijsps.1.1.34-38
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